Detecting Research for Vehicles Track at Roundabout Based on Dual Data Source

Abstract:

Extracting vehicles track at roundabout is the basis research for motion characteristics of vehicles. At present, most of the vehicle trajectory was obtained by using single data source. However, the precision of the method needs to be improved. In this paper, two cameras are set at two different directions shooting the same scene image to obtain image data. And then a new method to extracted vehicles track more accurately by integrate the dual data source organically was proposed. In the case analysis, through the contrastive analysis of 4 different curves, the result shows that the error of dual data detection is decreased by 2.7% than single data detection. The method to extract vehicles track by dual data source can provide the theoretical support for the analysis of traffic conditions at roundabout.

• Periodical: Applied Mechanics and Materials (Volumes 409-410)
• Pages: 1423-1428
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.409-410.1423
• Online since: September 2013
• Authors: Long Jin, Xiao Xia Liu, Shao Feng Fan, Bo Hang Liu
• Keywords: Dual Data Source, Roundabout, Vehicles Trajectory

References

[1] Tsai, Tsung-Han ; Lin, Chung-Yuan. Design of real-time self-frame-rate-control foreground detection for multiple camera surveillance system,. IEICE Transactions on Information and Systems, v E94-D, n 12, pp.2513-2522, December (2011).

DOI: 10.1587/transinf.e94.d.2513

[2] Secrest, Barry R.  A real-time open-source video tracking system,. Proceedings of SPIE - The International Society for Optical Engineering, v 6569, (2007).

[3] Rhodes, Avery . Operational performance comparison of video detection systems,. Institute of Transportation Engineers Annual Meeting and Exhibit 2007, v 1, pp.549-588, (2007).

[4] Gavankar, Deepti C. Secure real time remote video monitoring using selective encryption". Proceedings of the 2012 World Congress on Information and Communication Technologies, WICT 2012, pp.453-457, (2012).

DOI: 10.1109/wict.2012.6409120

[5] Xiaoming, Li. Web-based remote video monitoring system implemented using Java technology,. Proceedings of SPIE - The International Society for Optical Engineering, v 8334, 2012, In Chinese.

[6] Kobayashi, Kazuaki. Large-scale video monitoring system,. NEC Technical Journal, v 5, n 3, pp.39-42, October (2010).

[7] Guodong, Han. Research on video monitoring system based on intelligent,. Proceedings of 2011 International Conference on Computer Science and Network Technology, ICCSNT 2011, v 2, pp.1004-1007, 2011, In Chinese.

DOI: 10.1109/iccsnt.2011.6182131

[8] Brignone, Massimo. A P2P-based architecture for video monitoring,. 2010 International Conference on Computer Design and Applications, ICCDA 2010, v 5, p V5588-V5592, (2010).

[9] Kechao, Wang. Design and implementation of embedded network video monitoring terminal, Proceedings - 2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011, v 3, pp.211-214, 2011, In Chinese.

DOI: 10.1109/csae.2011.5952666